Used car AI performance inspection system based on acoustic data analysis, and processing method therefor

Abstract

Disclosed is a used car AI performance inspection method performing a visualization processing procedure that generates visualization processed graphics from results of computer analysis of unstructured data and displays them on an AI performance checklist, and a segmentation analysis processing procedure that divides an acoustic data into frequency bands according to predetermined standards, and scores for a state of each frequency band, and displays them on the AI performance checklist.

What is claimed is: 
     
         1 . Used car AI performance inspection processing method based on acoustic data analysis, the method comprising steps of;
 (a) a performance checklist generation module inquires detailed car model information of the used car;   (b) the performance checklist generation module collects unstructured data including sounds generated from mechanical or electronic devices of the used car using an acoustic sensor;   (c) the performance checklist generation module performs an AI performance inspection by diagnosing the collected unstructured data through a computer analysis and generating an AI performance checklist by reflecting results of the AI performance inspection; and   (d) an unstructured data transmission unit provides the AI performance checklist generated by the performance checklist generation module to a customer by displaying the AI performance checklist on a terminal device of the customer,   wherein the step (c) includes steps of;   a visualization processing procedure that generates visualization processed graphics from the results of computer analysis of the unstructured data and displays the graphics on the AI performance checklist;   performing a segmentation analysis processing procedure that divides the acoustic data into frequency bands according to predetermined standards, and scores for a state of each frequency band, and displays the scores on the AI performance checklist,   wherein, in the step (c), the visualization processed graphics are spectrograms that show changes in time, frequency, and amplitude of the acoustic signal in terms of concentration or color difference,   wherein the spectrograms for each of a normal performance state and a deteriorated performance state of the used car are generated and displayed on the AI performance checklist.   
     
     
         2 . A method according to  claim 1 ,
 wherein the segmentation analysis processing procedure of the step (c) subdivides the acoustic data into low-frequency band, mid-range band, high-frequency band, regularity and irregularity regions, scores the state of each band or region, and displays the scores on the AI performance checklist.   
     
     
         3 . A method according to  claim 2 ,
 wherein each region or band is decomposed into a plurality of characteristic elements, analyzed, and scored in the segmentation analysis processing procedure of the step (c).   
     
     
         4 . A method according to  claim 3 ,
 wherein the state of each region or band is visualized as a polygonal graph by the score and the total score on the AI performance checklist in the segmentation analysis processing procedure of the step (c).   
     
     
         5 . A method according to  claim 1 ,
 wherein a user interface with a function of streaming and playing acoustic information collected for specific parts of the used car and pre-stored standard car acoustic information for each car model is displayed on the AI performance checklist in the step (c).